Classification of vinegar types using volatile compound profiles and machine learning.
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| Title: | Classification of vinegar types using volatile compound profiles and machine learning. |
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| Authors: | Park S; Food Standard Research Center, Korea Food Research Institute, 245 Nongsaengmyeong-Ro, Wanju 55365, Republic of Korea., Kim K; Department of Food Science and Biotechnology, Gyeongkuk National University, Andong 36729, South Korea., Sung J; Department of Food Science and Biotechnology, Gyeongkuk National University, Andong 36729, South Korea., Son H; Food Standard Research Center, Korea Food Research Institute, 245 Nongsaengmyeong-Ro, Wanju 55365, Republic of Korea., Yu HH; Food Standard Research Center, Korea Food Research Institute, 245 Nongsaengmyeong-Ro, Wanju 55365, Republic of Korea., Jang M; Food Standard Research Center, Korea Food Research Institute, 245 Nongsaengmyeong-Ro, Wanju 55365, Republic of Korea. Electronic address: jangmi@kfri.re.kr. |
| Source: | Food chemistry [Food Chem] 2026 Jun 15; Vol. 514, pp. 149076. Date of Electronic Publication: 2026 Apr 01. |
| Publication Type: | Journal Article; Evaluation Study |
| Journal Info: | Publisher: Elsevier Applied Science Publishers Country of Publication: England NLM ID: 7702639 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-7072 (Electronic) Linking ISSN: 03088146 NLM ISO Abbreviation: Food Chem Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41932019 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Classification of vinegar types using volatile compound profiles and machine learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Park+S%22">Park S</searchLink>; Food Standard Research Center, Korea Food Research Institute, 245 Nongsaengmyeong-Ro, Wanju 55365, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+K%22">Kim K</searchLink>; Department of Food Science and Biotechnology, Gyeongkuk National University, Andong 36729, South Korea.<br /><searchLink fieldCode="AU" term="%22Sung+J%22">Sung J</searchLink>; Department of Food Science and Biotechnology, Gyeongkuk National University, Andong 36729, South Korea.<br /><searchLink fieldCode="AU" term="%22Son+H%22">Son H</searchLink>; Food Standard Research Center, Korea Food Research Institute, 245 Nongsaengmyeong-Ro, Wanju 55365, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Yu+HH%22">Yu HH</searchLink>; Food Standard Research Center, Korea Food Research Institute, 245 Nongsaengmyeong-Ro, Wanju 55365, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Jang+M%22">Jang M</searchLink>; Food Standard Research Center, Korea Food Research Institute, 245 Nongsaengmyeong-Ro, Wanju 55365, Republic of Korea. Electronic address: jangmi@kfri.re.kr. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%227702639%22">Food chemistry</searchLink> [Food Chem] 2026 Jun 15; Vol. 514, pp. 149076. <i>Date of Electronic Publication: </i>2026 Apr 01. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Evaluation Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Applied+Science+Publishers%22">Elsevier Applied Science Publishers </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>7702639 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1873-7072 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2203088146%22">03088146 </searchLink><i>NLM ISO Abbreviation: </i>Food Chem <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41932019 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.foodchem.2026.149076 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 149076 Titles: – TitleFull: Classification of vinegar types using volatile compound profiles and machine learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Park S – PersonEntity: Name: NameFull: Kim K – PersonEntity: Name: NameFull: Sung J – PersonEntity: Name: NameFull: Son H – PersonEntity: Name: NameFull: Yu HH – PersonEntity: Name: NameFull: Jang M IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 06 Text: 2026 Jun 15 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1873-7072 Numbering: – Type: volume Value: 514 Titles: – TitleFull: Food chemistry Type: main |
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